Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_2745_Библиотеки_им_академика_М_И_Перельмана

.pdf
Скачиваний:
0
Добавлен:
31.08.2026
Размер:
29 Мб
Скачать
Chronic small vessel ischemic disease yields subtle white matter degradation that can be difficult to distinguish from low-grade MS-related inflammation both radiologically and cognitively. In both cases, MRI can show periventricular white matter change, and patients tend to present cognitively with mildly slowed information processing speed and subtle forms of executive dysfunction. Widespread cerebral hypoperfusion has been implicated as a possible mechanism for cognitive dysfunction in MS as well.
95
With advances in effective disease-modifying therapies, MS patients continue to live longer. Older adults with MS must contend with normal age-related cognitive change and disorders such as Alzheimer disease (AD). The public awareness of AD makes it a source of concern for many individuals, particularly those perceiving cognitive changes in themselves or family members. To conclusively rule in or out an AD diagnosis, there is no substitute for complete neurological evaluation, aided by structural/functional neuroimaging and neuropsychological testing. Nonetheless, there are several identifying features which can help the clinician determine whether AD is likely, and put the patient’s mind at ease when it is not.
Age is the most significant AD risk factor, with incidence highest after age 65 years and increasing dramatically with each subsequent decade of life. Genetic factors also play a role, and several primary genes have been identified in association with AD development. Nonetheless, greater than 95% of AD cases are of the sporadic variant and tend to follow a later-onset course. 96 Early-onset AD, defined alternately in research by presentation before either age 60 or 65 years, is uncommon and is strongly associated with mutation in three specific genes, rarely occurring in the absence of such familial risk. 97 Accordingly, MS patients under the age of 60 years should be counseled that their cognitive complaints are not likely indicative of AD. Furthermore, even patients with a family history of AD should know that this only slightly increases their risk of AD development and is by no means a guarantee that they will eventually develop a dementia.
https://t.me/medicina_free
The MS neurocognitive profile, involving subcortical dysfunction, also tends to be more subtle and less specific than the cortical disruption seen in AD. While MS patients demonstrate reduced processing speed and difficulties learning new information, the hallmarks of AD are reductions in language and retrieval of both recent and distant memories. While both MS and AD cognitive dysfunction may lead to complaints by patients, the overt loss of language and generally poor memory in AD can be more noticeable to friends, family, and coworkers.
Severity of cognitive impairment is often defined by the extent to which it interferes with a patient’s day-to-day functioning. However, loss of independence due to physical disability, as is common in MS, should not be conflated with inability to perform essential cognitive tasks. Although the latter does occur in MS, patients often maintain the ability to care for themselves given appropriate compensatory aids. By contrast, patients with AD frequently progress to a point where they cannot safely engage in self-care due to their cognitive impairment.
Finally, the course of onset is important clinical evidence. AD pathology is insidious and progressive, and associated cognitive deficits emerge in the same manner. As noted previously, MS-related cognitive dysfunction is often linked to the presence of new inflammatory events or other signs of increased disease activity. For patients with the relapsing­remitting MS subtype, the presence of stepwise cognitive changes, particularly when temporally related to inflammatory events, represents a considerable distinction from the consistent worsening of cognition over time in AD and other progressive dementias. Furthermore, cognitive changes do not remit after onset in AD but may do so partially or fully in MS, particularly during quiescent periods of disease or in direct response to MS treatment. In general, a second diagnosis of AD or another progressive dementia should only be made when there is sufficient evidence of an additional disease process beyond MS; otherwise, it is more likely that cognitive changes can be attributed to a preexisting MS diagnosis.
https://t.me/medicina_free
Numerous other medical conditions with high comorbidity to MS are associated with onset or exacerbation of cognitive symptoms. Seizure disorders occur in approximately three percent of MS patients, 98 and presence of seizures is associated with higher rate of subcortical white matter lesions.
99
Autoimmune thyroid disease, associated with fluctuations in
cognitive performance and energy level, occurs in more than six percent of MS patients.
100
This list is by no means
exhaustive, and the presence of any other significant medical comorbidities should be taken into account when assessing the etiology of cognitive complaints in patients with MS.
Treatment and Intervention
Development and validation of empirical treatments for MS­related cognitive dysfunction is an active area of research, but it remains a work in progress. Early monitoring of cognitive impairment should be considered a priority, as research suggests that cognitive decline may accelerate after an initial period, providing a window for intervention to begin promptly.
37,101
Adherence to disease-modifying therapy and prevention of MS progression may be the best way to prevent cognitive decline, as pharmacological interventions targeted specifically at cognitive symptoms have not yet demonstrated significant effectiveness.
102-104
Cognitive rehabilitation protocols are
under development, with mixed initial results. Several systematic reviews have found limited evidence for cognitive rehabilitation programs, though statistical comparisons were made difficult by heterogeneous research methodology across studies.
105-108
There are two class I randomized controlled
trials (RCTs) providing good evidence that verbal learning and memory can be improved in MS.
109,110
Both studies
demonstrated accompanying functional MRI (fMRI) cerebral activation data as supporting evidence.
110,111
Improvements in
the former study were maintained at 6-month follow-up. In addition, there is some mixed evidence that attention can be improved with computerized cognitive rehabilitation program.
112
https://t.me/medicina_free
An important theoretical basis of cognitive training programs is enhancement of cognitive reserve, the resilience of the mind to brain disease. Patients with stronger cognitive ability before the onset of disease are not only less likely to fall below the threshold for normal cognition but are generally more resistant to experiencing significant decline from their personal cognitive baseline.
113,114
Level of education is the best-known
predictor of cognitive reserve,
115
although vocational status
and premorbid engagement in intellectually stimulating leisure activities also appear relevant.
116-118
Additional research is
needed to determine whether these links are solely correlational and manifest only in the premorbid phase of illness or whether behavioral changes can induce greater cognitive resilience after disease onset.
119
Physical exercise programs have general health benefits, and there is preliminary evidence that aerobic exercise may improve memory in MS patients.
120,121
To encourage safety,
driving evaluations may be indicated in patients with deficits in processing speed, attention, or visual-spatial ability, which can impact driving ability.
122
Addressing fatigue, mood, and
physical health can also be beneficial to functional cognitive performance. Pending the outcome of further intervention trials, current best practices include using evidence-based interventions for memory and attention, as well as provision of supportive therapy and teaching of compensatory strategies for impaired cognitive functions in general.
123
Summary
Cognitive dysfunction is highly prevalent among MS patients and is a prominent aspect of the MS disability profile. Changes in cognition are associated with poorer quality of life, decreased capacity to work and engage socially, and loss of independence. Processing speed is the primary cognitive deficit in MS, but it can manifest in ways other than generalized slowing. Patients may also complain of problems with memory, attention, language, visual-spatial processing, or executive functioning, and the heterogeneity of disease progression and focal nature of central nervous system lesions
https://t.me/medicina_free
allow for the possibility of impairment in any cognitive domain. The best way to elucidate the nature and severity of cognitive deficits is through formal neuropsychological evaluation, and recent developments in MS-specific cognitive assessment have improved methods for screening and longitudinal monitoring of cognition.
Etiological considerations for cognitive impairment in MS are multifactorial and include the direct consequences of disease activity, fatigue, medication effects, psychological stressors, and other medical conditions that may influence cognitive ability. Efforts to develop effective cognitive rehabilitation protocols are ongoing. There is some class I evidence for improvements in verbal memory, preliminary evidence for improvements in attention, and evidence in favor of supportive
therapy and teaching of compensatory skills for cognitive impairment in general. More importantly, educating patients,
clinicians, and caregivers about the frequency and impact of cognitive change in MS is an important step toward addressing this critical area of disability.
References
Peyser JM, Edwards KR, Poser CM, Filskov SB. Cognitive function in patients
with multiple sclerosis. Arch Neurol. 1980;37(9):577-579.
Korakas N, Tsolaki M. Cognitive impairment in multiple sclerosis: a review of
neuropsychological assessments. Cogn Behav Neurol. 2016;29(2):55-67.
Jongen PJ, Ter Horst AT, Brands AM. Cognitive impairment in multiple sclerosis.
Minerva Med. 2012;103(2):73-96.
Amato MP, Zipoli V, Portaccio E. Multiple sclerosis-related cognitive changes: a
review of cross-sectional and longitudinal studies. J Neurol Sci. 2006;245(1-
2):41-46.
Wynia K, Middel B, van Dijk JP, De Keyser JHA, Reijneveld SA. The impact of
disabilities on quality of life in people with multiple sclerosis. Mult Scler. 2008;14(7):972-980.
Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet
Neurol. 2008;7(12):1139-1151.
Julian LJ, Vella L, Vollmer T, Hadjimichael O, Mohr DC. Employment in multiple
sclerosis. Exiting and re-entering the work force. J Neurol. 2008;255(9):1354-
1360.
Simmons RD, Tribe KL, McDonald EA. Living with multiple sclerosis:
longitudinal changes in employment and the importance of symptom management. J Neurol. 2010;257(6):926-936.
https://t.me/medicina_free
Honan CA, Brown RF, Hine DW, et al. The multiple sclerosis work difficulties
questionnaire. Mult Scler. 2012;18(6):871-880.
Honan CA, Brown RF, Batchelor J. Perceived cognitive difficulties and cognitive
test performance as predictors of employment outcomes in people with multiple sclerosis. J Int Neuropsychol Soc. 2015;21(2):156-168.
Carrieri L, Sgaramella TM, Bortolon F, et al. Determinants of on-the-job-barriers in
employed persons with multiple sclerosis: the role of disability severity and cognitive indices. Work Read Mass. 2014;47(4):509-520.
Strober L, Chiaravalloti N, Moore N, DeLuca J. Unemployment in multiple
sclerosis (MS): utility of the MS functional composite and cognitive testing. Mult Scler. 2014;20(1):112-115.
Campbell J, Rashid W, Cercignani M, Langdon D. Cognitive impairment among
patients with multiple sclerosis: associations with employment and quality of life. Postgrad Med J. 2017;93(1097):143-147.
Krause I, Kern S, Horntrich A, Ziemssen T. Employment status in multiple
sclerosis: impact of disease-specific and non-disease-specific factors. Mult Scler. 2013;19(13):1792-1799.
Sayao AL, Bueno AM, Devonshire V, Tremlett H, UBC MS Clinic Neurologists .
The psychosocial and cognitive impact of longstanding “benign” multiple sclerosis. Mult Scler. 2011;17(11):1375-1383.
Hughes AJ, Hartoonian N, Parmenter B, et al. Cognitive impairment and
community integration outcomes in individuals living with multiple sclerosis. Arch Phys Med Rehabil. 2015;96(11):1973-1979.
Goverover Y, Strober L, Chiaravalloti N, DeLuca J. Factors that moderate activity
limitation and participation restriction in people with multiple sclerosis. Am J Occup Ther. 2015;69(2):6902260020p1-69022600209.
Hakim EA, Bakheit AM, Bryant TN, et al. The social impact of multiple sclerosis –
a study of 305 patients and their relatives. Disabil Rehabil. 2000;22(6):288-293.
Lysandropoulos AP, Havrdova E, ParadigMS Group . “Hidden” factors influencing
quality of life in patients with multiple sclerosis. Eur J Neurol. 2015;22(suppl
2):28-33.
Rao SM, Leo GJ, Ellington L, Nauertz T, Bernardin L, Unverzagt F. Cognitive
dysfunction in multiple sclerosis. II. Impact on employment and social functioning. Neurology. 1991;41(5):692-696.
Cotter J, Firth J, Enzinger C, et al. Social cognition in multiple sclerosis: a
systematic review and meta-analysis. Neurology. 2016;87(16):1727-1736.
Banati M, Sandor J, Mike A, et al. Social cognition and theory of mind in patients
with relapsing-remitting multiple sclerosis. Eur J Neurol. 2010;17(3):426-433.
Chahraoui K, Duchene C, Rollot F, Bonin B, Moreau T. Longitudinal study of
alexithymia and multiple sclerosis. Brain Behav. 2014;4(1):75-82.
Prochnow D, Donell J, Schäfer R, et al. Alexithymia and impaired facial affect
recognition in multiple sclerosis. J Neurol. 2011;258(9):1683-1688.
Gleichgerrcht E, Tomashitis B, Sinay V. The relationship between alexithymia,
empathy and moral judgment in patients with multiple sclerosis. Eur J Neurol. 2015;22(9):1295-1303.
Cecchetto C, Aiello M, D’Amico D, et al. Facial and bodily emotion recognition in
multiple sclerosis: the role of alexithymia and other characteristics of the
https://t.me/medicina_free
disease. J Int Neuropsychol Soc. 2014;20(10):1004-1014.
Goverover Y, Genova HM, Hillary FG, DeLuca J. The relationship between
neuropsychological measures and the timed instrumental activities of daily living task in multiple sclerosis. Mult Scler. 2007;13(5):636-644.
Kalmar JH, Gaudino EA, Moore NB, Halper J, Deluca J. The relationship between
cognitive deficits and everyday functional activities in multiple sclerosis. Neuropsychology. 2008;22(4):442-449.
Amato MP, Ponziani G, Siracusa G, Sorbi S. Cognitive dysfunction in early-onset
multiple sclerosis: a reappraisal after 10 years. Arch Neurol. 2001;58(10):1602-
1606.
Beer S, Khan F, Kesselring J. Rehabilitation interventions in multiple sclerosis: an
overview. J Neurol. 2012;259(9):1994-2008.
Archer C, Morris L, George S. Assessment and rehabilitation of driver skills:
subjective experiences of people with multiple sclerosis and health professionals. Disabil Rehabil. 2014;36(22):1875-1882.
Kalina JT. Clutter management for individuals with multiple sclerosis. Int J MS
Care. 2014;16(3):117-122.
Fong MWM, Lee EJ, Sheppard-Jones K, Bishop M. Home functioning profiles in
people with multiple sclerosis and their relation to disease characteristics and psychosocial functioning. Work Read Mass. 2015;52(4):767-776.
Gerstenecker A, Myers T, Lowry K, et al. Financial capacity and its cognitive
predictors in progressive multiple sclerosis. Arch Clin Neuropsychol. 2017;32(8):943-950.
Tracy VL, Basso MR, Marson DC, Combs DR, Whiteside DM. Capacity for
financial decision making in multiple sclerosis. J Clin Exp Neuropsychol. 2017;39(1):46-57.
Gerstenecker A, Lowry K, Myers T, et al. Medical decision-making capacity and its
cognitive predictors in progressive MS: preliminary evidence. J Neurol Sci. 2017;380:38-43.
Foley FW, Benedict RHB, Gromisch ES, DeLuca J. The need for screening,
assessment, and treatment for cognitive dysfunction in multiple sclerosis. Int J MS Care. 2012;14(2):58-64.
Leavitt VM, Wylie G, Krch D, Chiaravalloti N, DeLuca J, Sumowski JF. Does
slowed processing speed account for executive deficits in multiple sclerosis? Evidence from neuropsychological performance and structural neuroimaging. Rehabil Psychol. 2014;59(4):422-428.
Sbardella E, Tona F, Petsas N, et al. Functional connectivity changes and their
relationship with clinical disability and white matter integrity in patients with relapsing-remitting multiple sclerosis. Mult Scler. 2015;21(13):1681-1692.
Papadopoulou A, Müller-Lenke N, Naegelin Y, et al. Contribution of cortical and
white matter lesions to cognitive impairment in multiple sclerosis. Mult Scler. 2013;19(10):1290-1296.
Covey TJ, Zivadinov R, Shucard JL, Shucard DW. Information processing speed,
neural efficiency, and working memory performance in multiple sclerosis: differential relationships with structural magnetic resonance imaging. J Clin Exp Neuropsychol. 2011;33(10):1129-1145.
https://t.me/medicina_free
Mazerolle EL, Wojtowicz MA, Omisade A, Fisk JD. Intra-individual variability in
information processing speed reflects white matter microstructure in multiple sclerosis. NeuroImage Clin. 2013;2:894-902.
Morse CL, Schultheis MT, McKeever JD, Leist T. Multitasking in multiple
sclerosis: can it inform vocational functioning? Arch Phys Med Rehabil. 2013;94(12):2509-2514.
Genova HM, DeLuca J, Chiaravalloti N, Wylie G. The relationship between
executive functioning, processing speed, and white matter integrity in multiple sclerosis. J Clin Exp Neuropsychol. 2013;35(6):631-641.
Hanssen KT, Beiske AG, Landrø NI, Hessen E. Predictors of executive complaints
and executive deficits in multiple sclerosis. Acta Neurol Scand. 2014;129(4):234-242.
Farez MF, Crivelli L, Leiguarda R, Correale J. Decision-making impairment in
patients with multiple sclerosis: a case-control study. BMJ Open. 2014;4(7):e004918.
Muhlert N, Sethi V, Schneider T, et al. Diffusion MRI-based cortical complexity
alterations associated with executive function in multiple sclerosis. J Magn Reson Imaging. 2013;38(1):54-63.
Cerezo García M, Martín Plasencia P, Aladro Benito Y. Alteration profile of
executive functions in multiple sclerosis. Acta Neurol Scand. 2015;131(5):313-
320.
Smith MM, Arnett PA. Awareness of executive functioning deficits in multiple
sclerosis: self versus informant ratings of impairment. J Clin Exp Neuropsychol. 2010;32(7):780-787.
Roberg BL, Bruce JM, Feaster HT, O’Bryan SR, Westervelt HJ, Glusman M.
Speedy eye movements in multiple sclerosis: association with performance on visual and nonvisual cognitive tests. J Clin Exp Neuropsychol. 2015;37(1):1-15.
Gmeindl L, Courtney SM. Deconstructing spatial working memory and attention
deficits in multiple sclerosis. Neuropsychology. 2012;26(1):57-70.
Hulst HE, Schoonheim MM, Van Geest Q, Uitdehaag BMJ, Barkhof F, Geurts JJG.
Memory impairment in multiple sclerosis: relevance of hippocampal activation and hippocampal connectivity. Mult Scler. 2015;21(13):1705-1712.
Fink F, Eling P, Rischkau E, et al. The association between California Verbal
Learning Test performance and fibre impairment in multiple sclerosis: evidence from diffusion tensor imaging. Mult Scler. 2010;16(3):332-341.
Pardini M, Bergamino M, Bommarito G, Bonzano L, Luigi Mancardi G,
Roccatagliata L. Structural correlates of subjective and objective memory performance in multiple sclerosis. Hippocampus. 2014;24(4):436-445.
Muhlert N, Atzori M, De Vita E, et al. Memory in multiple sclerosis is linked to
glutamate concentration in grey matter regions. J Neurol Neurosurg Psychiatry. 2014;85(8):833-839.
Dineen RA, Bradshaw CM, Constantinescu CS, Auer DP. Extra-hippocampal
subcortical limbic involvement predicts episodic recall performance in multiple sclerosis. PLoS One. 2012;7(10):e44942.
Renauld S, Mohamed-Saïd L, Macoir J. Language disorders in multiple sclerosis: a
systematic review. Mult Scler Relat Disord. 2016;10:103-111.
https://t.me/medicina_free
Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for
grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189-198.
Aupperle RL, Beatty WW, Shelton F de NAP, Gontkovsky ST. Three screening
batteries to detect cognitive impairment in multiple sclerosis. Mult Scler. 2002;8(5):382-389.
Swirsky-Sacchetti T, Field HL, Mitchell DR, et al. The sensitivity of the Mini-
Psychol. 1992;48(6):779-786.
Beatty WW, Goodkin DE. Screening for cognitive impairment in multiple sclerosis.
An evaluation of the Mini-Mental State Examination. Arch Neurol. 1990;47(3):297-301.
Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment,
MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695-699.
Freitas S, Batista S, Afonso AC, et al. The Montreal Cognitive Assessment
(MoCA) as a screening test for cognitive dysfunction in multiple sclerosis. Appl Neuropsychol Adult. 2018;25(1):57-70.
Ashrafi F, Behnam B, Arab Ahmadi M, et al. Correlation of MRI findings and
cognitive function in multiple sclerosis patients using montreal cognitive assessment test. Med J Islam Repub Iran. 2016;30:357.
Lapshin H, Audet B, Feinstein A. Detecting cognitive dysfunction in a busy
multiple sclerosis clinical setting: a computer generated approach. Eur J Neurol. 2014;21(2):281-286.
Papathanasiou A, Messinis L, Georgiou VL, Papathanasopoulos P. Cognitive
impairment in relapsing remitting and secondary progressive multiple sclerosis patients: efficacy of a computerized cognitive screening battery. ISRN Neurol. 2014;2014:151379.
Lapshin H, O’Connor P, Lanctôt KL, Feinstein A. Computerized cognitive testing
for patients with multiple sclerosis. Mult Scler Relat Disord. 2012;1(4):196-201.
Lapshin H, Lanctôt KL, O’Connor P, Feinstein A. Assessing the validity of a
computer-generated cognitive screening instrument for patients with multiple sclerosis. Mult Scler. 2013;19(14):1905-1912.
Rao SM. A Manual for the Brief, Repeatable Battery of Neuropsychological Tests in
Multiple Sclerosis. National Multiple Sclerosis Society; 1991.
Benedict RHB, Cookfair D, Gavett R, et al. Validity of the minimal assessment of
cognitive function in multiple sclerosis (MACFIMS). J Int Neuropsychol Soc. 2006;12(4):549-558.
Langdon DW, Amato MP, Boringa J, et al. Recommendations for a brief
international cognitive assessment for multiple sclerosis (BICAMS). Mult Scler. 2012;18(6):891-898.
Benedict RH, DeLuca J, Phillips G, et al. Validity of the Symbol Digit Modalities
Test as a cognition performance outcome measure for multiple sclerosis. Mult Scler. 2017;23(5):721-733.
Kim S, Zemon V, Rath JF, et al. Screening instruments for the early detection of
cognitive impairment in patients with multiple sclerosis. Int J MS Care. 2017;19(1):1-10.
https://t.me/medicina_free
Sonder JM, Burggraaff J, Knol DL, Polman CH, Uitdehaag BMJ. Comparing long-
term results of PASAT and SDMT scores in relation to neuropsychological testing in multiple sclerosis. Mult Scler. 2014;20(4):481-488.
Van Schependom J, D’hooghe MB, Cleynhens K, et al. The Symbol Digit
Modalities Test as sentinel test for cognitive impairment in multiple sclerosis. Eur J Neurol. 2014;21(9):1219-1225, e71-72.
López-Góngora M, Querol L, Escartín A. A one-year follow-up study of the
Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test (PASAT) in relapsing-remitting multiple sclerosis: an appraisal of comparative longitudinal sensitivity. BMC Neurol. 2015;15:40.
Gronwall DM. Paced auditory serial-addition task: a measure of recovery from
concussion. Percept Mot Skills. 1977;44(2):367-373.
Stegen S, Stepanov I, Cookfair D, et al. Validity of the California Verbal Learning
Test-II in multiple sclerosis. Clin Neuropsychol. 2010;24(2):189-202.
Buschke H. Selective reminding for analysis of memory and learning. J Verbal
Learn Verbal Behav. 1973;12(5):543-550.
Benedict R. Brief Visuospatial Memory Test – Revised: Professional Manual.
Odessa, FL: Psychological Assessment Resources; 1997.
Connick P, Kolappan M, Bak TH, Chandran S. Verbal fluency as a rapid screening
test for cognitive impairment in progressive multiple sclerosis. J Neurol Neurosurg Psychiatry. 2012;83(3):346-347.
Gromisch ES, Zemon V, Holtzer R, et al. Assessing the criterion validity of four
highly abbreviated measures from the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). Clin Neuropsychol. 2016;30(7):1032-1049.
Gromisch ES, Portnoy JG, Foley FW. Comparison of the abbreviated minimal
assessment of cognitive function in multiple sclerosis (aMACFIMS) and the brief international cognitive assessment for multiple sclerosis (BICAMS). J Neurol Sci. 2018;388:70-75.
Yildiz M, Tettenborn B, Radue EW, Bendfeldt K, Borgwardt S. Association of
cognitive impairment and lesion volumes in multiple sclerosis – a MRI study. Clin Neurol Neurosurg. 2014;127:54-58.
Calabrese M, Poretto V, Favaretto A, et al. Cortical lesion load associates with
progression of disability in multiple sclerosis. Brain J Neurol. 2012;135(Pt
10):2952-2961.
Khan F, Amatya B, Galea M. Management of fatigue in persons with multiple
sclerosis. Front Neurol. 2014;5:177.
Induruwa I, Constantinescu CS, Gran B. Fatigue in multiple sclerosis - a brief
review. J Neurol Sci. 2012;323(1-2):9-15.
Holtzer R, Foley F. The relationship between subjective reports of fatigue and
executive control in multiple sclerosis. J Neurol Sci. 2009;281(1-2):46-50.
Holtzer R, Foley F, D’Orio V, Spat J, Shuman M, Wang C. Learning and cognitive
fatigue trajectories in multiple sclerosis defined using a burst measurement design. Mult Scler. 2013;19(11):1518-1525.
Hanken K, Eling P, Kastrup A, Klein J, Hildebrandt H. Integrity of hypothalamic
fibers and cognitive fatigue in multiple sclerosis. Mult Scler Relat Disord. 2015;4(1):39-46.
https://t.me/medicina_free